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- Hong Pi
- 2007

FRITIOF is a Monte Carlo program that implements the Lund string dynamics model for hadron-hadron, hadron-nucleus and nucleus-nucleus collisions. This new version extends from the original low-P T constructions to include the hard scattering eeects and a more reened treatment of the QCD gluon radiation in terms of a soft radiation model in the colour dipole… (More)

- Hong Pi, Carsten Peterson
- Neural Computation
- 1994

We present a general method, the &test, which establishes functional dependencies given a sequence of measurements. The approach is based on calculating conditional probabilities from vector component distances. Imposing the requirement of continuity of the underlying function, the obtained values of the conditional probabilities carry information on the… (More)

- Mattias Ohlsson, Hong Pi
- Neural Networks
- 1997

The mean eld theory (MFT) approach to knapsack problems is extended to multiple knapsacks and generalized assignment problems with Potts mean eld equations governing the dynamics. Numerical tests against \state of the art" conventional algorithms shows good performance for the mean eld approach. The inherently parallelism of the MFT equations makes them… (More)

- Hong Pi
- 1993

2 : In this paper we explore function dependences in multivariate currency exchange rate data using the-test. Despite large noise levels and the high dimensional nature of the data set, the-test captures the dependency structures in the data quite eeciently. Dependences of a currency on its own history, interdependencies between currencies , and dependences… (More)

We devise a feed-forward Artiicial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by \The Great Energy Predictor Shootout-The First Building Data Analysis and Prediction Competition" 1]. Key ingredients in our approach are a method (test) for determining relevant inputs and the… (More)

A package written in C for identif~'ing variable dependencies in tables of data is presented. The key ingredient is the 8-test, which establishes dependency structures by exploiting the properties of continuous functions using conditional probabilities formed out of the data. The method estimates most relevant variables, embedding dimensions and noise… (More)

- Leif Ll Onnblad, Carsten Peterson, Hong Pi, Thorsteinn Rr Ognvaldsson
- 2007

Self-organizing neural networks are brieey reviewed and compared with supervised learning algorithms like back-propagation. The power of self-organization networks is in their capability of displaying typical features in a transparent manner. This is successfully demonstrated with two applications from hadronic jet physics; hadronization model… (More)

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